Radiomic Profiling of Head and Neck Cancer: 18F-FDG PET Texture Analysis as Predictor of Patient Survival
المؤلفون المشاركون
Grassi, E.
Feliciani, G.
Fioroni, F.
Bertolini, M.
Rosca, A.
Timon, G.
Galaverni, M.
Iotti, C.
Versari, A.
Iori, M.
Ciammella, P.
المصدر
Contrast Media & Molecular Imaging
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-09-27
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Background and Purpose.
The accurate prediction of prognosis and pattern of failure is crucial for optimizing treatment strategies for patients with cancer, and early evidence suggests that image texture analysis has great potential in predicting outcome both in terms of local control and treatment toxicity.
The aim of this study was to assess the value of pretreatment 18F-FDG PET texture analysis for the prediction of treatment failure in primary head and neck squamous cell carcinoma (HNSCC) treated with concurrent chemoradiation therapy.
Methods.
We performed a retrospective analysis of 90 patients diagnosed with primary HNSCC treated between January 2010 and June 2017 with concurrent chemo-radiotherapy.
All patients underwent 18F-FDG PET/CT before treatment.
18F-FDG PET/CT texture features of the whole primary tumor were measured using an open-source texture analysis package.
Least absolute shrinkage and selection operator (LASSO) was employed to select the features that are associated the most with clinical outcome, as progression-free survival and overall survival.
We performed a univariate and multivariate analysis between all the relevant texture parameters and local failure, adjusting for age, sex, smoking, primary tumor site, and primary tumor stage.
Harrell c-index was employed to score the predictive power of the multivariate cox regression models.
Results.
Twenty patients (22.2%) developed local failure, whereas the remaining 70 (77.8%) achieved durable local control.
Multivariate analysis revealed that one feature, defined as low-intensity long-run emphasis (LILRE), was a significant predictor of outcome regardless of clinical variables (hazard ratio < 0.001, P=0.001).The multivariate model based on imaging biomarkers resulted superior in predicting local failure with a c-index of 0.76 against 0.65 of the model based on clinical variables alone.
Conclusion.
LILRE, evaluated on pretreatment 18F-FDG PET/CT, is associated with higher local failure in patients with HNSCC treated with chemoradiotherapy.
Using texture analysis in addition to clinical variables may be useful in predicting local control.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Feliciani, G.& Fioroni, F.& Grassi, E.& Bertolini, M.& Rosca, A.& Timon, G.…[et al.]. 2018. Radiomic Profiling of Head and Neck Cancer: 18F-FDG PET Texture Analysis as Predictor of Patient Survival. Contrast Media & Molecular Imaging،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131364
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Feliciani, G.…[et al.]. Radiomic Profiling of Head and Neck Cancer: 18F-FDG PET Texture Analysis as Predictor of Patient Survival. Contrast Media & Molecular Imaging No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1131364
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Feliciani, G.& Fioroni, F.& Grassi, E.& Bertolini, M.& Rosca, A.& Timon, G.…[et al.]. Radiomic Profiling of Head and Neck Cancer: 18F-FDG PET Texture Analysis as Predictor of Patient Survival. Contrast Media & Molecular Imaging. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131364
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1131364
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر